:$\text{'}**$ Question $11$:$**$ Biostatisticians and Bioinformaticians are constantly dealing with large data sets that must be

processed either for analysis or graphical visualization. This exercise is a classic example of processing the

data for visualization. In the file $\text{'}$HW$4\_$Data$2.$ Csv$`$ you wil$1$ find a file which has $1000$ genetic variables stored

as rows and each column represents one sample collected on a patient. Some samples are labeled as Response while

others are labeled as control. Your task is the following. For each gene in the data set, you must "normalize" the

data to the control group. To do this, for each gene you must calculate the mean and standard deviation for the

control samples. Then for each value of in the data set for that gene, you must standardize it using a z$-$score

which simply states to subtract each value by the mean and then divide the difference by the standard deviation.

For example the first rows values should be normalized using the following

Again you must not manipulate the csv file before reading it into R$.$ For this exercise your code must also be able

to work on the test data set, $"$HW$4\_$TestSample.csv$",$ included in the assignment. The point here is that the number

of Response and Control samples could change as well as their ordering in the file itself.

$\{r\}$